How Can Machine Learning Improve Entity Recognition in Nanotechnology?
Machine learning, especially deep learning, can significantly enhance entity recognition in nanotechnology by:
Customizing Algorithms: Tailoring machine learning algorithms to recognize specific nanotechnology-related terms and patterns. Contextual Understanding: Utilizing contextual embeddings like BERT to understand the context in which a term is used, improving accuracy. Training on Domain-Specific Data: Training models on large datasets specific to nanotechnology to better understand the terminologies and their usage. Continuous Learning: Implementing continuous learning systems that adapt and evolve as new terms and concepts emerge in the field.
